Why Ternary Data?

Let’s face it – Winning with data in the real world is hard.

While data can bring untold upside to a business, the real world is a different story. The hard truth is that most data projects fail.

► We are “recovering data scientists” who understand the problems you’re facing when trying to win with data.

► Ternary Data focuses on teaching you the skills to build a solid foundation.

Your business is all about ROI. Not just cool AI.

Our clients choose us because we cut through the thick fog of data tool and vendor hype, and focus on practical things that create real business value.

Who We Are

Ternary Data is led by veteran data engineers, data scientists, and university professors. Rest assured that you’re dealing with people who have deep, real-world experience (and the battle scars to prove it). We can guide you in your journey to win with data.

Joseph Reis

CEO/Co-Founder

Joe Reis is a “recovering data scientist,” CEO of Ternary Data, and a business-minded data nerd who’s worked in the data industry for 20 years. His responsibilities have ranged from statistical modeling, forecasting, machine learning, data engineering, data architecture, and everything else in between.

He hosts the popular data show and podcast, the Monday Morning Data Chat, interviews the top thought leaders in data on The Data Nerd Herd, and runs several multi-thousand member meetups, including The Utah Data Engineering Meetup and SLC Python. Joe also teaches at the University of Utah and is the co-author of the O’Reilly book, Fundamentals of Data Engineering.

When he’s not busy running a company, teaching, or creating content, Joe often finds himself DJing/making music, rock climbing, or trail running in the mountains around Salt Lake City, Utah.

Joe’s LinkedIn

Matthew Housley

CTO/Co-Founder

A fellow “Recovering Data Scientist,” Matt is also a “Reformed Academic,” holding a PhD in Math and dual Masters degrees in both Math and Physics. It was only natural that he began his career in Academia as a Professor of Mathematics, before joining one of the largest e-commerce companies as a data scientist.

His STEM background in combination with his knack for teaching makes him a mastermind at overhauling processes, improving teamwork, and incorporating engineering best practices so that real value is delivered to companies. While making the journey from data scientist to data engineer, Matt began to focus more on data & cloud engineering, working extensively with Amazon Web Services, Google Cloud Platform, Containers, Apache Airflow and GPUs, among other technologies.

Matt (or should we say, “Dr. Housley”) is an adjunct faculty member in the Math Department at The University of Utah. He is the co-author of Fundamentals of Data Engineering, published by O’Reilly.

Matt’s LinkedIn